eStep: The E(xpectation) step
In multimix: Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm
eStep R Documentation
The E(xpectation) step
Description
The E(xpectation) step
Usage
eStep(P, D)
Arguments
P
an object of class multimixParamList–see
initParamList for more information.
D
an object of class multimixSettings—see
data_organise for more information.
Value
a list containing two elements: a matrix named
Z—see mStep for more information, and a scalar
llik containing the current value of the log-likelihood.
Author(s)
Murray Jorgensen
multimix documentation built on Jan. 22, 2023, 1:13 a.m.
R Package Documentation
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| eStep | R Documentation |
The E(xpectation) step
Description
The E(xpectation) step
Usage
eStep(P, D)
Arguments
P |
an object of class |
D |
an object of class |
Value
a list containing two elements: a matrix named
Z—see mStep for more information, and a scalar
llik containing the current value of the log-likelihood.
Author(s)
Murray Jorgensen
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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